SCUBA2_JACKKNIFE

Calculate optimal map using jack-knife noise estimator

Description:

Use a jack-knife method to remove residual low-spatial frequency noise and create an optimal match-filtered output map. The recipe proceeds as follows:

The outcome (the match-filtered whitened signal map with suffix _mf) should be the optimal map with white noise properties. This is the map to be used for science goals.

Notes:

Available Parameters :

The following parameters can be set via the -recpars option:
JACKKNIFE_METHOD
Method for creating jack-knife map. May be alternate to use every other file to create the two halves, or half to use the first N/2 files (by date) for one half of the jack-knife and the remainder for the other. Default is alternate.
PSF_BOX
Size of square region (in pixels) use to define effective PSF.
PSF_MATCHFILTER
Name of a file to use as the map-filtered PSF.
STATS_COMP
Name of component to use when determining the threshold level. Default is texp (the EXP_TIME component).
STATS_ESTIMATOR
Statistical estimator to use to determine threshold level. May be max, mean, median, or min. Default is median.
STATS_THRESH
Threshold multiplier - the threshold will be this value multiplied by the estimator. Default is 0.5 if using the exposure time, 1 otherwise.
WHITEN_BOX
Size of the region used to calculate the angular power spectrum for removing residual low-frequency noise in the data. Default is a square region bounded by the noise being less than twice the minimum value.
WHITEN_ESTIMATOR
Statistical estimator to determine the threshold level to define the size of the whitening region. May be MIN, MEAN or MEDIAN. Default is MIN (see WHITEN_BOX).
WHITEN_THRESH
The threshold multiplier at which to define the size of the whitening region. Default is 2 (see WHITEN_BOX).

Display

None.